Cognitive resource management architecture and cognitive resource calling method

Abstract

The embodiment of the invention provides a cognitive resource management architecture and a cognitive resource calling method. The system comprises a software bus and cognitive resources, and the software bus is located on the upper layer of the cognitive resources; the software bus provides a unified calling interface for task requirements through interface design and function integration; the cognitive resources realize dynamic loading and initialization of an upper-layer bus interface through application requirements and task parameters by performing standardized management on a pre-training model and an intelligent algorithm. According to the embodiment of the invention, a cognitive resource management architecture is divided into a software bus and cognitive resources, and the cognitive resources are accessed and updated through a software bus interface; and standardized management and a unified calling mode of cognitive resources such as a pre-training model, an intelligent algorithm, a computing framework and mathematical knowledge are realized, so that distributed access to the cognitive resources and reuse of various intelligent models and algorithms can be supported, anda good intelligent algorithm development environment is provided.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a cognitive resource management framework and a cognitive resource calling method. Background technique [0002] In the field of artificial intelligence, artificial intelligence is to enable machines to learn, think and understand like humans. It covers a wide range of subject areas such as cognition and reasoning, computer vision, natural language understanding and interaction, and machine learning. In recent years, the theory and technology of artificial intelligence have been developed by leaps and bounds, and intelligent algorithms emerge in endlessly. Traditional machine learning algorithms, including decision trees, random forests, artificial neural networks, Bayesian learning, and more. With the advent of the era of big data, artificial intelligence algorithms driven by large amounts of data have been widely used in many fields in real life, such a...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a cognitive resource management architecture system and a cognitive resource call method to solve the defects in the prior art that tasks and models are tightly coupled, resulting in repeated resource calls, which is not conducive to management and development

Images